Systems and methods for monitoring and controlling industrial processes

A system comprising:

• a non-transitory computer-readable medium storing instructions;
• a quality control system;
• a first imaging device;
• and
• a processing device communicatively coupled to the non-transitory computer-readable medium, wherein the processing device is configured to execute the instructions and thereby perform operations comprising:
• capturing first imaging data from the first imaging device, the first imaging data comprising infrared imaging data for at least a first portion of an article of manufacture during a manufacturing process;
• deriving one or more relative moisture profiles for the article of manufacture from the infrared imaging data;
• providing the one or more relative moisture profiles or the first imaging data to the quality control system as input data for cross-direction and machine-direction control;
• determining, for at least one manufacturing process component based on the moisture data, a dewatering performance for the at least one manufacturing process;
• determining, based on the dewatering performance, a dewatering cost for the at least one manufacturing process component;
• processing the dewatering performance and the dewatering cost using at least one of a machine-learning model or a rules-based model to generate a recommended modification to the manufacturing process;
• and
• facilitating modification, by the quality control system, of at least one manufacturing process components based on the recommended modification.

A non-transitory computer-readable medium storing computer-executable instructions that, when executed by computing hardware, configure the computing hardware to perform operations comprising:

• receiving first imaging data from a first imaging device, the first imaging data comprising infrared imaging data for at least a first portion of an article of manufacture during a manufacturing process;
• determining, based on the first imaging data, moisture data for the article of manufacture at a particular location along the manufacturing process;
• determining, by the computing hardware for at least one manufacturing process component based on the moisture data, a dewatering performance for the at least one manufacturing process;
• determining, based on the dewatering performance, a dewatering cost for the at least one manufacturing process component;
• processing the dewatering performance and the dewatering cost using at least one of a machine-learning model or a rules-based model to generate a recommended modification to the manufacturing process;
• generating a graphical user interface comprising an indication of the recommended modification;
• and
• providing the graphical user interface for display on a computing device.